Maryam Etesami, MD
Assistant Professor of Radiology and Biomedical Imaging; Service chief of breast MRI, Radiology & Biomedical Imaging
Research & Publications
Biography
News
Extensive Research Description
Dr. Etesami has conducted several research projects on breast cancer screening using digital breast tomosynthesis or breast MRI. Dr. Etesami’s recent work presented at annual Radiological Society of North America could help settle a controversial question in breast imaging: At what age should a woman start having mammograms? The lower incidence of breast cancer and the higher rate of false-positive recalls for younger women has led some to suggest that screening younger women is not effective. However, Dr. Etesami and her colleagues have found that DBT, when compared to conventional digital mammogram, has been shown to reduce false-positive recalls while also increasing cancer detection rates. According to Dr. Etesami, delaying screening may result in losing the opportunity to detect aggressive cancers at an earlier stage in women aged 40 to 49.
She has also worked on multiple projects investigating potential use of breast MRI in predicting response to neoadjuvant chemotherapy in breast cancer.
Research Interests
Breast Diseases; Magnetic Resonance Imaging; Mammography; Diffusion Magnetic Resonance Imaging
Public Health Interests
Cancer
Selected Publications
- Abstract P4-10-13: Validation of neural network approach for the prediction of HER2-targeted neoadjuvant chemotherapy response from pretreatment MRI: A multi-site studyBraman N, Adoui M, Vulchi M, Turk P, Etesami M, Fu P, Drisis S, Varadan V, Plecha D, Benjelloun M, Abraham J, Madabhushi A. Abstract P4-10-13: Validation of neural network approach for the prediction of HER2-targeted neoadjuvant chemotherapy response from pretreatment MRI: A multi-site study Cancer Research 2020, 80: p4-10-13-p4-10-13. DOI: 10.1158/1538-7445.sabcs19-p4-10-13.
- Abstract P1-10-06: Radiomic measurements of tumor-associated vasculature morphology and function on pretreatment dynamic MRI identifies responders to neoadjuvant chemotherapyBraman N, Prasanna P, Bera K, Alilou M, Vulchi M, Etesami M, Turk P, Abraham J, Plecha D, Madabhushi A. Abstract P1-10-06: Radiomic measurements of tumor-associated vasculature morphology and function on pretreatment dynamic MRI identifies responders to neoadjuvant chemotherapy Cancer Research 2020, 80: p1-10-06-p1-10-06. DOI: 10.1158/1538-7445.sabcs19-p1-10-06.
- Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI.Vulchi M, El Adoui M, Braman N, Turk P, Etesami M, Drisis S, Plecha D, Benjelloun M, Madabhushi A, Abraham J. Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI. Journal Of Clinical Oncology 2019, 37: 593-593. DOI: 10.1200/jco.2019.37.15_suppl.593.
- Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)–Positive Breast CancerBraman N, Prasanna P, Whitney J, Singh S, Beig N, Etesami M, Bates DDB, Gallagher K, Bloch BN, Vulchi M, Turk P, Bera K, Abraham J, Sikov WM, Somlo G, Harris LN, Gilmore H, Plecha D, Varadan V, Madabhushi A. Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)–Positive Breast Cancer JAMA Network Open 2019, 2: e192561. PMID: 31002322, PMCID: PMC6481453, DOI: 10.1001/jamanetworkopen.2019.2561.
- Abstract P4-02-07: Radiogenomic analysis of HER2+ breast cancer reveals MRI features correlated with genomic immune index are predictive of neoadjuvant chemotherapy responseBraman N, Prasanna P, Singh S, Beig N, Gilmore H, Etesami M, Bates D, Gallagher K, Bloch B, Somlo G, Sikov W, Harris L, Plecha D, Varadan V, Madabhushi A. Abstract P4-02-07: Radiogenomic analysis of HER2+ breast cancer reveals MRI features correlated with genomic immune index are predictive of neoadjuvant chemotherapy response Cancer Research 2018, 78: p4-02-07-p4-02-07. DOI: 10.1158/1538-7445.sabcs17-p4-02-07.
- Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRIBraman N, Etesami M, Prasanna P, Dubchuk C, Gilmore H, Tiwari P, Plecha D, Madabhushi A. Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI Breast Cancer Research 2017, 19: 80. PMID: 28693537, PMCID: PMC5502485, DOI: 10.1186/s13058-017-0862-1.
- Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRIBraman NM, Etesami M, Prasanna P, Dubchuk C, Gilmore H, Tiwari P, Plecha D, Madabhushi A. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI Breast Cancer Research 2017, 19: 57. PMID: 28521821, PMCID: PMC5437672, DOI: 10.1186/s13058-017-0846-1.
- Utility of late gadolinium enhancement in pediatric cardiac MRIEtesami M, Gilkeson RC, Rajiah P. Utility of late gadolinium enhancement in pediatric cardiac MRI Pediatric Radiology 2015, 46: 1096-1113. PMID: 26718199, DOI: 10.1007/s00247-015-3526-2.
- Computed tomography in the evaluation of vascular rings and slingsEtesami M, Ashwath R, Kanne J, Gilkeson RC, Rajiah P. Computed tomography in the evaluation of vascular rings and slings Insights Into Imaging 2014, 5: 507-521. PMID: 25008430, PMCID: PMC4141344, DOI: 10.1007/s13244-014-0343-3.
- Comparison of carotid plaque ulcer detection using contrast-enhanced and time-of-flight MRA techniques.Etesami M, Hoi Y, Steinman DA, Gujar SK, Nidecker AE, Astor BC, Portanova A, Qiao Y, Abdalla WM, Wasserman BA. Comparison of carotid plaque ulcer detection using contrast-enhanced and time-of-flight MRA techniques. AJNR. American Journal Of Neuroradiology 2013, 34: 177-84. PMID: 22627797, DOI: 10.3174/ajnr.A3132.
- Carotid plaque neovascularization and hemorrhage detected by MR imaging are associated with recent cerebrovascular ischemic events.Qiao Y, Etesami M, Astor BC, Zeiler SR, Trout HH, Wasserman BA. Carotid plaque neovascularization and hemorrhage detected by MR imaging are associated with recent cerebrovascular ischemic events. AJNR. American Journal Of Neuroradiology 2012, 33: 755-60. PMID: 22194363, PMCID: PMC3979429, DOI: 10.3174/ajnr.A2863.